Alternatives and similar repositories for sas-python-work

Users that are interested in sas-python-work are comparing it to the libraries listed below

• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• gaurav-kaushik / Data-Visualizations-Medium
  Understanding Data and Machine Learning Models with Visualizations
  ☆39Updated 6 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• asdspal / dimRed
  python, scala, and pyspark code for few dimensional reduction algorithms
  ☆62Updated 8 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆54Updated 8 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆88Updated 6 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• dataman-git / codes_for_articles
  ☆181Updated 6 months ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆42Updated 4 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• luisguiserrano / hmm
  An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.you…
  ☆149Updated 3 weeks ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• tirthajyoti / UCI-ML-API
  Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
  ☆256Updated 3 years ago
• smazzanti / tds_black_box_models_more_explainable
  Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…
  ☆73Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 6 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• SSQ / Coursera-UW-Machine-Learning-Clustering-Retrieval
  ☆30Updated 6 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• avisheknag17 / public_ml_models
  ☆62Updated 4 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆73Updated 7 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago